Grokking Artificial Intelligence Algorithms
Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
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Grokking Artificial Intelligence Algorithms
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Narrado por:
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Jeromy Lloyd
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Julie Brierley
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De:
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Rishal Hurbans
Acerca de esta escucha
Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises - including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization.
About the technology
Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI.
About the book
Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion.
What's inside:
- Use cases for different AI algorithms
- Intelligent search for decision making
- Biologically inspired algorithms
- Machine learning and neural networks
- Reinforcement learning to build a better robot
About the audience
For software developers with high school-level algebra and calculus skills.
About the author
Rishal Hurbans is a technologist, founder, and international speaker.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.
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5 out of 5 stars
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Great book!
- De bpjammin en 01-07-17
De: César Hidalgo
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Superminds
- The Surprising Power of People and Computers Thinking Together
- De: Thomas W. Malone
- Narrado por: Mel Foster
- Duración: 11 h y 11 m
- Versión completa
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General4 out of 5 stars 100
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Narración:4 out of 5 stars 90
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Historia4 out of 5 stars 90
Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.
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2 out of 5 stars
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"Why did a Kenyan immigrant win the 2008 election"
- De RealTruth en 07-11-18
De: Thomas W. Malone
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Radical Abundance
- How a Revolution in Nanotechnology Will Change Civilization
- De: K. Eric Drexler
- Narrado por: Tim Pabon
- Duración: 11 h y 53 m
- Versión completa
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General4 out of 5 stars 131
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Narración:4 out of 5 stars 109
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Historia4 out of 5 stars 109
K. Eric Drexler is the founding father of nanotechnology - the science of engineering on a molecular level. In Radical Abundance, he shows how rapid scientific progress is about to change our world. Thanks to atomically precise manufacturing, we will soon have the power to produce radically more of what people want, and at a lower cost. The result will shake the very foundations of our economy and environment.
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2 out of 5 stars
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Drexler Rehashes the Past
- De David en 10-19-13
De: K. Eric Drexler
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Power and Prediction
- The Disruptive Economics of Artificial Intelligence
- De: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrado por: Tom Beyer
- Duración: 10 h y 7 m
- Versión completa
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General4.5 out of 5 stars 101
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Narración:4.5 out of 5 stars 88
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Historia4 out of 5 stars 88
In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.
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5 out of 5 stars
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Inspire system thinking with informative examples
- De Lucy A. Pithecus en 11-16-22
De: Ajay Agrawal, y otros
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The Great Mental Models
- General Thinking Concepts
- De: Shane Parrish
- Narrado por: Shane Parrish
- Duración: 3 h y 23 m
- Versión completa
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General4.5 out of 5 stars 1,645
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Narración:4 out of 5 stars 1,367
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Historia4.5 out of 5 stars 1,348
The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile all-purpose mental models you can use right away to improve your decision making, your productivity, and how clearly you see the world.
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2 out of 5 stars
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A dissapointing debut
- De Peter en 04-14-19
De: Shane Parrish
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Toyota Kata
- Managing People for Improvement, Adaptiveness and Superior Results
- De: Mike Rother
- Narrado por: Todd Belcher
- Duración: 7 h y 16 m
- Versión completa
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General4.5 out of 5 stars 42
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Narración:4.5 out of 5 stars 36
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Historia4.5 out of 5 stars 36
This game-changing book puts you behind the curtain at Toyota, providing new insight into the legendary automaker's management practices and offering practical guidance for leading and developing people in a way that makes the best use of their brainpower. Drawing on six years of research into Toyota's employee-management routines, Toyota Kata examines and elucidates, for the first time, the company's organizational routines - called kata - that power its success with continuous improvement and adaptation.
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2 out of 5 stars
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This is NOT an entry level book.
- De Keenan en 09-13-24
De: Mike Rother
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Mind in Motion
- How Action Shapes Thought
- De: Barbara Tversky
- Narrado por: Cassandra Campbell
- Duración: 11 h y 17 m
- Versión completa
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General4 out of 5 stars 76
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Narración:4 out of 5 stars 65
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Historia4 out of 5 stars 65
In Mind in Motion, psychologist Barbara Tversky shows that spatial cognition isn't just a peripheral aspect of thought, but its very foundation, enabling us to draw meaning from our bodies and their actions in the world. Our actions in real space get turned into mental actions on thought, often spouting spontaneously from our bodies as gestures. Spatial thinking underlies creating and using maps, assembling furniture, devising football strategies, designing airports, understanding the flow of people, traffic, water, and ideas.
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2 out of 5 stars
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Physically difficult to listen to
- De Claire Hay en 11-08-19
De: Barbara Tversky
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In Pursuit of Elegance
- Why the Best Ideas Have Something Missing
- De: Matthew E. May
- Narrado por: Malcolm Hillgartner
- Duración: 5 h y 46 m
- Versión completa
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General4.5 out of 5 stars 66
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Narración:4.5 out of 5 stars 31
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Historia4 out of 5 stars 30
In this thought-provoking exploration, Matthew May defines elegance as the elusive combination of unusual simplicity and surprising power, and pinpoints the four key elements that characterize it: seduction, subtraction, symmetry, and sustainability. In a story-driven narrative that sheds light on the need for elegance in design, engineering, physics, art, urban planning, sports, and work, May offers a surprising array of stories that illustrate why what's "not there" often matters more than what is.
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1 out of 5 stars
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I love elegance, but this book isn't elegant
- De Oliver Nielsen en 06-26-11
De: Matthew E. May
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Human + Machine
- Reimagining Work in the Age of AI
- De: Paul R. Daugherty, H. James Wilson
- Narrado por: Jamie Renell
- Duración: 5 h y 55 m
- Versión completa
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General4 out of 5 stars 333
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Narración:4.5 out of 5 stars 284
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Historia4 out of 5 stars 284
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
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3 out of 5 stars
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A golf course book
- De C. Surdak en 07-30-18
De: Paul R. Daugherty, y otros
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Design Thinking in Business and IT: Overview, Techniques and Example Workshop
- De: Florian Heuer
- Narrado por: Bryan Stout
- Duración: 1 h y 4 m
- Versión completa
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General4 out of 5 stars 88
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Narración:4 out of 5 stars 75
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Historia3.5 out of 5 stars 75
You might've talked about innovation with your IT department or software development agency lately and the words "design thinking" were surely mentioned. So what is it? Just another piece of business jargon to add to your arsenal or a useful tool? Or maybe even an overestimated hype? Nowadays every organization or business runs into a myriad of problems as business models become increasingly more complex. Globalization and advances in communication and technology, all add up to creating unique opportunities but also new challenges that are not easy to solve applying the old tested methods.
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4 out of 5 stars
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Basic design thinking lesson
- De Preston en 04-09-16
De: Florian Heuer
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This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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1 out of 5 stars
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the book is not good in audio format
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Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.
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1 out of 5 stars
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Bad as an audiobook
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Deep Learning with Python (Second Edition)
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General4 out of 5 stars 15
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audible version is useless - has no PDF
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Software Engineering at Google
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General4.5 out of 5 stars 213
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How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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2 out of 5 stars
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not useful
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AI and Machine Learning for Coders
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General4.5 out of 5 stars 20
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Narración:4.5 out of 5 stars 15
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Historia4.5 out of 5 stars 15
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
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General4.5 out of 5 stars 272
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At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.
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5 out of 5 stars
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Great content but some audio issues
- De David M. Tang en 07-08-21
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Grokking Algorithms
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This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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1 out of 5 stars
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the book is not good in audio format
- De Anonymous User en 01-09-20
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Grokking Machine Learning
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1 out of 5 stars
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Bad as an audiobook
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Deep Learning with Python (Second Edition)
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General4 out of 5 stars 15
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audible version is useless - has no PDF
- De Jim en 03-04-22
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Software Engineering at Google
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General4.5 out of 5 stars 213
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How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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2 out of 5 stars
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not useful
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AI and Machine Learning for Coders
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5 out of 5 stars
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At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.
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5 out of 5 stars
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Great content but some audio issues
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Machine Learning for Absolute Beginners
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General3.5 out of 5 stars 4
-
Narración:3 out of 5 stars 3
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Historia3 out of 5 stars 3
Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.
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1 out of 5 stars
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Text read does not match the book
- De Kay en 01-05-23
De: Oliver Theobald
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Deep Learning with Python
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General4.5 out of 5 stars 50
-
Narración:5 out of 5 stars 44
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Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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4 out of 5 stars
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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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The Master Algorithm
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- De: Pedro Domingos
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- Duración: 13 h y 3 m
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General4.5 out of 5 stars 1,676
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Narración:4.5 out of 5 stars 1,431
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Historia4.5 out of 5 stars 1,425
Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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4 out of 5 stars
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Great book, irritating narration
- De N. G. PEPIN en 09-24-15
De: Pedro Domingos
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Secrets of the JavaScript Ninja
- De: John Resig, Bear Bibeault, Josip Maras
- Narrado por: Derek Lettman
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General4.5 out of 5 stars 26
-
Narración:4.5 out of 5 stars 22
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Historia4.5 out of 5 stars 22
More than ever, the web is a universal platform for all types of applications, and JavaScript is the language of the web. If you're serious about web development, it's not enough to be a decent JavaScript coder. You need to be ninja stealthy, efficient, and ready for anything. This audiobook shows you how.
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3 out of 5 stars
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The book is nice but the figures pdf is completely out of sync with the accompanying pdf
- De Oleg M. en 10-15-19
De: John Resig, y otros
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The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- De: David Thomas, Andrew Hunt
- Narrado por: Anna Katarina
- Duración: 9 h y 55 m
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General4.5 out of 5 stars 1,559
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Narración:5 out of 5 stars 1,265
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Historia4.5 out of 5 stars 1,247
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
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5 out of 5 stars
-
An excellent and entertaining technical book
- De Amazon Customer en 01-21-20
De: David Thomas, y otros
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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
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General5 out of 5 stars 2
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Narración:5 out of 5 stars 2
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Historia5 out of 5 stars 2
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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5 out of 5 stars
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Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- De: Neal Ford, Mark Richards, Pramod Sadalage, y otros
- Narrado por: Dena Dahilig
- Duración: 12 h y 53 m
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General4 out of 5 stars 13
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Narración:4 out of 5 stars 10
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Historia3.5 out of 5 stars 10
There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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3 out of 5 stars
-
Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
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GANs in Action
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- De: Jakub Langr, Vladimir Bok
- Narrado por: Julie Brierley
- Duración: 6 h y 23 m
- Versión completa
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General4.5 out of 5 stars 3
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Narración:4.5 out of 5 stars 3
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Historia5 out of 5 stars 3
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
De: Jakub Langr, y otros
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Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
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General4.5 out of 5 stars 259
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Narración:5 out of 5 stars 213
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Historia4.5 out of 5 stars 210
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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5 out of 5 stars
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
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Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
- Versión completa
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General5 out of 5 stars 5
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Narración:5 out of 5 stars 3
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Historia5 out of 5 stars 3
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
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5 out of 5 stars
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Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
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- Narrado por: Adam Newmark
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General5 out of 5 stars 2
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Narración:5 out of 5 stars 2
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Historia4.5 out of 5 stars 2
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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5 out of 5 stars
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
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Artificial Intelligence
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- De: Melanie Mitchell
- Narrado por: Abby Craden, Melanie Mitchell, Tony Wolf
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General4.5 out of 5 stars 396
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Narración:4.5 out of 5 stars 337
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Historia4.5 out of 5 stars 335
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
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5 out of 5 stars
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Start understanding AI right here!
- De Chad M. en 01-26-20
De: Melanie Mitchell